"of" in "of interest" phrases

What this neuron does

This neuron fires on the word "of" in phrases like "subject of study", "of interest" or "of particular use", where "of" comes after a noun and points to a topic or relevance. Turned up, it made the model repeat "of interest" over and over.

Written by Claude from this neuron's activations and steering outputs. Confidence: high. Think it is wrong? Flag it (opens a prefilled issue on GitHub).

Fires most on

The text windows where this neuron's activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

1. #1 peak

   clinical presentations has remained unchanged for decades. In the social sciences and life sciences, a case study involves an up-close, in-depth and detailed examination of a subject of study (the case), as well as its related contextual conditions. Although no single

2. #2 peak

   each phase of development aligned with each area of learning and also shares ideas on how you can support your child at home. Here are some key pages that may be of particular use:⏎Pages 27- 49 Birth to Three aged children

3. #3 peak

   . Categorical splits are based on a comparison<|endoftext|>To examine rocks in more detail, geologists will make a microscope slide, or thin section, of their rock of interest. A thin section has a very thin slice of rock, usually about

4. #4 peak

   are numerous more contentious topics that might be used for great research paper issues. In case you’ve got a particular opinion about something, or about a problem that is of interest to you, it may be fun to research that topic yourself. For instance

5. #5 peak

   , including a recent work by the speaker on fairness in clustering. This will also briefly outline some fairness research directions which may be of interest for future data science research.⏎Bio: Dr. Deepak Padmanab

6. #6 peak

   efficiency of different coals. Aerosol classification methods were based on electric mobility and used a parallel plate electrostatic classifier that provided direct access to the classified aerosol of both charge polarities. Performance tests included calibration with monodisperse latex spheres

Steering

Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

1. #1 peak

   and break it down into small logical sections. No hydrochloric acid needed! If you still find it daunting, why not brush up on your histology basics first?⏎- Stomach wall⏎

2. #2 peak

   more about his or her learning strategy than anyone else. So if you'd like to learn something about the best strategy to use when teaching your students to fly, why not just ask them to tell you?⏎The next time you're introduced to a

3. #3 peak

   60 degrees below zero and winds are ferocious.⏎Perhaps it is time to stop reading my words, bundle up the kids and hike into the Arctic. Why not today! Children will almost certainly see seals just yards away and, if the

4. #4 peak

   appropriate image with a meaningful or even hilarious caption can help attract readers and improve the credibility of your content. An image successfully captures your reader’s interest too.⏎So why should images included in online content?⏎- Adding an image increases the traffic to your

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Activation histogram

How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.

Logit lens

The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layers instead.